Richard Wildes

• computer vision
• allied aspects of image processing, robotics and artificial intelligence

Richard P. Wildes received the PhD degree from the Massachusetts Institute of Technology in 1989. Subsequently, he joined Sarnoff Corporation (Now SRI) in Princeton, New Jersey, as a Member of the Technical Staff in the Vision Technologies Group. In 2001, he joined the Department of Computer Science and Engineering at York University, Toronto, where he is an Associate Professor and a member of the Centre for Vision Research. Honors include receiving a Sarnoff  Corporation Technical Achievement Award, the IEEE D.G. Fink Prize Paper Award for his Proceedings of the IEEE publication “Iris Recognition: An Emerging Biometric Technology,” and twice giving invited presentations to the US National Academy of Sciences.

• Dynamic scene recognition with complementary spatiotemporal features (with C. Feichtenhofer and A. Pinz). IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (12), 2389-2401, 2016.
• Spacetime stereo and 3D flow via binocular spatiotemporal orientation analysis (with M. Sizintsev). IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (11), 2241-2254, 2014.
• The applicability of spatiotemporal oriented energy features to region tracking (with K. Cannons). IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (4), 784-796, 2014.
• Spacetime texture representation and recognition based on a spatiotemporal orientation analysis (with K. Derpanis). IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1193-1205, 2012.
• Video georegistration: Algorithm and quantitative evaluation (with D. Hirvonen, S. Hsu, R. Kumar, W. Lehman, B. Matei and W. Zhao). In Proceedings of the IEEE International Conference on Computer Vision, 343-350, 2001.
• Recovering estimates of fluid flow from image sequence data (with M. Amabile, A. Lanzillotto and T. Leu). Computer Vision and Image Understanding 80, 246-266, 2000.
• Qualitative spatiotemporal analysis using an oriented energy representation (with J. Bergen). In Proceedings of the European Conference on Computer Vision, 784-796, 2000.
• Automated iris recognition: An emerging biometric technology. Proceedings of the IEEE 85 (9), 1348-1363, 1997. Awarded IEEE D. G. Fink Prize Paper Award.